http://purdue.taleo.net/careersection/wl/jobsearch.ftl
Job Number 1700337
The Center for Cancer Research is a NCI-designated cancer center. The center is a catalyst for collaborative cancer research around Purdue University. In this role, the selected individual will have the opportunity to cooperate with Purdue faculty and students in performing cutting-edge research and analyses, with opportunities for professional development, and the possibility of co-authorship in faculty research publications. Projects will be challenging, including various model organisms, and we are looking for an individual who is excited about interacting with multi-disciplinary cancer research groups and the development of new tools, techniques and workflows. Independently perform both routine and project-specific analyses, advice faculty on the design of experiments, writing manuscripts for publication, and writing grant proposals. Interact and collaborate with bioinformatics services (i.e. Statistical Consulting Center to provide relevant services to the campus research community), where applicable. Support all of the bioinformatics activities of the Center for Cancer Research at Purdue University.
Position is contingent on the availability of funding, current funding until 2020.
Required:
- Master's degree in bioinformatics, computer science, molecular biology, or related field.
- One year experience in analyzing RNA-Seq data.
- In depth understanding of molecular biology, biochemistry, and genetics.
- Proficiency in writing scripts using Perl, Python, Java, or equivalent languages.
- Proficiency in R and UNIX/LINUX.
- Knowledge of genomics, alignment, annotation, bioinformatics, concepts of sequence assembly.
- Highly motivated and detail oriented.
- Ability, interest, and curiosity to learn new skills.
- Possess strong communication to work effectively with users across disciplines.
- Ability to work independently and as part of a multi-disciplinary team.
- Strong visual, verbal and written communication skills.
- Excellent time organizational skills
Preferred:
- Experience writing software or building software pipelines.
- Experience using Matlab.
- Experience with deploying and/or running software on high performance computational systems.
- Experience with oncology-specific public databases including TCGA.
- Statistical and experimental design knowledge.
Additional Information:
- Purdue will not sponsor an employment related visa for this position.
- A background check will be required for employment.
- FLSA Exempt (Not Eligible for Overtime).
- Retirement Eligibility: Defined Contribution Waiting Period.
- Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.
